Linpeng Tang's repositories
computer-super-go-acm08
Automatically exported from code.google.com/p/computer-super-go-acm08
rocking-worm
Automatically exported from code.google.com/p/wrom-gnikcor
CleverAlgorithms
An open source book that describes a large number of algorithmic techniques from the the fields of Biologically Inspired Computation, Computational Intelligence and Metaheuristics in a complete, consistent, and centralized manner such that they are accessible, usable, and understandable.
DeepLearning
Deep Learning (Python, C/C++, Java, Scala)
DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
gpgpu-sim_distribution
GPGPU-Sim provides a detailed simulation model of a contemporary GPU (such as NVIDIA's Fermi and GT200 architectures) running CUDA and/or OpenCL workloads and now includes an integrated (and validated) energy model, GPUWattch.
gradle-in-action-source
Source code for the Manning book "Gradle in Action"
HanLP
Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
java-deeplearning
Distributed Deep Learning Platform for Java, Clojure,Scala
kubernetes-notes
Kubernetes 学习笔记-https://www.huweihuang.com/kubernetes-notes/
legacy-homebrew
:skull: The former home of :beer: the missing package manager for OS X
lua---parallel
A (simple) parallel computing framework for Lua
lua-sci
General Purpose Scientific Computing in LuaJIT
lupa
Lupa for Torch
mkl-dnn
Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)
mv-tp-r-tree
Automatically exported from code.google.com/p/mv-tp-r-tree
prelude
Prelude is an enhanced Emacs 24 distribution that should make your experience with Emacs both more pleasant and more powerful.
scikit-learn
scikit-learn: machine learning in Python
spock-reports
This project creates a global extension to Spock to create test reports.
tensorflow-xsmm
Improved performance for TensorFlow on Intel hardware.
torch7-demos
Demos and tutorials around Torch7.